aCharges
aCharges calculates partial atomic charges for protein structures in AlphaFoldDB to map electron distribution and inform chemical behavior and functional interpretation.
Key Features:
- Integration with AlphaFoldDB: Accesses over 200 million predicted protein structures in AlphaFoldDB, including complete organism proteomes such as human.
- Empirical charge calculation: Employs the SQE+qp empirical method parameterized for proteins using quantum mechanics charges from B3LYP/6-31G*/NPA calculations on PROPKA3-protonated structures.
- Data output: Produces partial atomic charges exportable in common data formats for integration into downstream bioinformatics workflows.
Scientific Applications:
- Chemical reactivity insights: Maps electron distribution to support analysis of enzyme mechanisms, ligand binding sites, and potential drug interactions.
- Functional annotation enhancement: Provides chemical behavior data to augment interpretation of predicted protein function and interactions.
- Proteomics research: Enables large-scale examination of proteomes for studies in comparative genomics, evolutionary biology, and systems biology.
Methodology:
Calculations apply the SQE+qp empirical method tailored for proteins, parameterized with quantum mechanics charges from B3LYP/6-31G*/NPA calculations on PROPKA3-protonated structures and integrated with AlphaFoldDB for processing predicted structures.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 1/5/2024
- Last Updated:
- 1/5/2024
Operations
Publications
Schindler O, Berka K, Cantara A, Křenek A, Tichý D, Raček T, Svobodová R. αCharges: partial atomic charges for AlphaFold structures in high quality. Nucleic Acids Research. 2023;51(W1):W11-W16. doi:10.1093/nar/gkad349. PMID:37158246. PMCID:PMC10320090.
Links
Repository
https://github.com/sb-ncbr/AlphaCharges